POSITION / TITLE: Senior Data Science

Location: Offshore - Hyderabad / Bangalore / Pune / Chennai

Who are we looking for

Looking for individuals with 12+ years of experience implementing and managing Data science projects . Working knowledge of Machine and Deep learning based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, tensorflow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is preferred

Responsibilities:

Technical Skills - Must have:

Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics

Should have strong understanding hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT

Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization

Strong understanding of evaluation and monitoring metrics for machine learning projects

Strong understanding of containerization using docker and Kubernetes to get the models into production

Ability to Translate complex machine learning problem statements into specific deliverables and requirements

Adept at Python Scripting

Technical Skills - Good to have:

Knowledge of distributed computing frameworks and cloud ML frameworks including AWS.

Experience in natural language processing, computer vision, or deep learning.

Certifications or courses in data science, analytics, or related fields.

Should exhibit diligence and meticulousness in working with data

OTHER SKILLS WED APPRECIATE

10+ years of Software Development experience

4+ years of experience in the Data Science and Machine Learning techniques

Proven track record of getting ML models into production

Hands-on experience with writing ML models with Python.

Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. would be a plus

Education Qualification:

Bachelors degree in Computer Science, Information Technology, or related field (Masters degree preferred).

Process Skills:

General SDLC processes

Understanding of utilizing Agile and Scrum software development methodologies

Skill in gathering and documenting user requirements and writing technical specifications.

Behavioral Skills :

Good Attitude and Quick learner.

Well-developed design, analytical problem-solving skills

Strong oral and written communication skills

Excellent team player, able to work with virtual teams.

Self-motivated and capable of working independently with minimal management supervision.

Certification:

Having Machine Learning or AI certifications would be an added advantage.

Role: Data Science & Machine Learning - Other

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer:

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement