Specialist - Data Sciences

Key Skills

Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, AWS, Django, Docker, HuggingFace, Lambda, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Python Programming, PyTorch, SQL

Job Description

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com

ML Developer :

Responsibilities:

• Play a central role in all stages of the AI product development life cycle, including:
• Designing Machine Learning systems and model scaling strategies
• Run necessary ML tests and benchmarks for model validation
• Fine-tune, retrain and scale existing model deployments
• Extend existing ML library’s and write packages for reproducing components
• Manage production pipelines for enterprise scale projects
• Perform code reviews & optimization for your projects and team

Technical Requirements:

• Proven track record as a ML engineer
• Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
• Excellent exposure to large scale model deployment strategies and tools
• Excellent knowledge of ML & Deep Learning domain
• Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
• Knowledge in AWS Technologies: Terraform, CFT, Lambda, Fargate, ECS and also in SQL, Docker and Django.
• Experience with SOTA models related to NLP like Classification, Summarization, Phrase extraction, Table Extraction and OCR

Good to have:

• 4+ years of relevant experience in ML Engineering
• Prior substantial experience regarding document processing