Whom we are looking for: After becoming a sustainable Startup, We have now refocused our Technology teams to work exclusively on client technologies while embarking on the journey of multi-tenant, friction-less, global, cloud-based & scalable products. We are currently re-engineering and rebranding our Startup to take the next leap. If you have worked on large scale tech products, have keen professional pride in delivering top quality products to users and love to code and can coach/mentor and upskill other engineers then you will love this position. If you have worked either in Reg-Tech and/or Risk-Tech, there is a big chance we are made for each other. Our Hiring Philosophy: • Can do Attitude. • Learning/Growth Mindset. • Willing to start small and build a talented team along the way. • Commitment to Excellence and Dedication. Roles and Responsibility: • Lead the entire back-end and front-end technology team and act as the go-to resource with in-depth knowledge of technology and product best practices and standards. • Build scalable backend product architecture that scales through millions of transactions per day. • Build support systems for monitoring, billing, administration, etc. • Acting as a single person of contact for the entire product vertical and liaising with the business team to aid the business needs. • Directly Responsible for the user experience on the platform. Willingness to learn new technologies as required and able to incorporate machine-learning, AI and Big data as the product evolves. • Responsible for validating the technical feasibility of product ideas, and suggesting likely technical platforms and build-buy options for such ideas. • Plan and set up a smooth development cycle for getting features from user stories to products. • Responsible for building deep tech products related to Face Biometrics, Image Forensics, and Risk Analysis. Skills Required: Must have: • Candidate with minimum 5-10 years of solid tech experience, preferably in a growing Start-up. • Proven Experience in leading the full cycle of mobile (Android/IOS) and web application development processes, from design to implementation. • Well-versed with tech stacks like Node, Python, Java and/or other latest languages. • Proven ability to build a solid team and thrive in a dynamic environment. • Experience with performance testing and optimization of the application for maximum speed and scalability. • Great analytical skills, data-driven decision making and evolution with technology trends. • Stronghold in backend development and algorithms. • Experience with Machine Learning and Data Analysis. Good to have: • Exposure to financial risk modeling is a plus. • Exposure to Image Processing is a plus. • Exposure to the blockchain is a plus. The right candidate should be commercially knowledgeable (business acumen) and pragmatic, and have an understanding of a wide range of technologies and methodologies, and should have the ability to choose which fits best. Experience building a technology team or work with a small team from start at a start-up is a plus.
• Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them. • Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind
Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems