Careers at LTM
AI / ML Engineer
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Role description
We are looking for an AI / ML Engineer with strong software engineering fundamentals and handson experience building productiongrade Python systems scalable data pipelines and machine learning solutions in cloud environments The ideal candidate will have practical experience across the machine learning lifecycle including data preparation feature engineering model development evaluation deployment support monitoring and documentation
This role is well suited for an engineer who can work at the intersection of machine learning data engineering and cloudbased software development The candidate should be comfortable developing MLdriven automation solutions working with structured and semistructured data collaborating with crossfunctional teams and translating research or prototype ideas into reliable engineering solutions
Key Responsibilities
Design develop and maintain machine learning models and AIdriven systems using Python and modern ML libraries
Build and optimize data pipelines for heterogeneous data sources such as CSV JSON XML and relational databases
Perform data preprocessing feature engineering exploratory data analysis model training validation and performance evaluation
Develop ML solutions for use cases involving classification forecasting embeddings NLP computer vision similarity search and intelligent automation
Implement scalable ETLELT workflows using Python Snowflake and cloud services such as AWS S3 Lambda and Glue
Support deploymentready ML workflows including model monitoring data quality checks logging error handling and ing
Collaborate with data scientists software engineers product teams and business stakeholders to understand requirements and deliver practical AIML solutions
Conduct experiments compare model architectures tune hyperparameters analyze model performance and document findings clearly
Develop reusable maintainable and welltested code following software engineering best practices Git workflows and CICD standards
Stay current with advances in machine learning deep learning NLP computer vision embeddings and cloudbased AIML platforms
Required Skills and Experience
4 years of professional experience in software engineering data engineering machine learning engineering or related technical roles
Strong programming experience in Python with working knowledge of SQL and familiarity with R or C as an added advantage
Handson experience with scientific Python and ML libraries such as NumPy Pandas Matplotlib scikitlearn SciPy PyTorch TensorFlow HuggingFace and Transformerbased models
Experience developing machine learning models using algorithms such as Random Forest ensemble methods deep learning models NLP models computer vision models and embeddingbased retrieval systems
Strong understanding of data preprocessing feature engineering model evaluation metrics class imbalance handling validation techniques and statistical testing
Experience designing and maintaining scalable ETLELT pipelines and data workflows using Snowflake AWS and Python
Working knowledge of cloud services especially AWS services such as S3 Lambda Glue and cloudnative data infrastructure
Experience with data quality monitoring schema management anomaly detection logging and pipeline reliability practices
Familiarity with Docker CICD pipelines Gitbased collaboration technical documentation and production software development practices
Ability to communicate technical concepts effectively to both technical and nontechnical stakeholders
Preferred GoodtoHave Skills
Experience with MLOps concepts such as model versioning experiment tracking model deployment model monitoring and automated retraining workflows
Experience with multimodal AI imagetext embeddings semantic search contentbased retrieval or vector similarity search
Handson experience with computer vision use cases including CNNbased classification image feature extraction and dataset quality analysis
Experience with NLP use cases including BERT Transformer finetuning speech or text classification and emotion or intent detection
Exposure to largescale datasets data warehousing star schema design outlier detection and analyticsready data modeling
Research experience publication experience or demonstrated ability to convert research concepts into applied ML solutions
AWS certification or equivalent cloud certification
Experience building lightweight web applications or APIs for ML model serving such as Flaskbased applications
Education and Certifications
Bachelors or Masters degree in Computer Science Data Analytics Information Technology Artificial Intelligence Machine Learning Statistics or a related field
Advanced academic background in Computer Science or Data A
Skills
Mandatory Skills : AI/ML Testing, GenAI - LLMOps, Generative AI/Open AI/Vector DB, Industrial AI - Machine Learning (ML), Python
Good to Have Skills : AI/ML Awareness Testing, AI_Implementation_Infra - Vector Store DB, RAG, Apache Airflow, AWS Lambda, LangChain, MLOPS, MLOPS - Python, Vertex AI
Other details
Actual compensation within the range will be dependent upon the individual''s skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $ 70,000.00 to 100,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
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