Key Responsibilities: • Develop new machine learning, deep learning (RNN or LSTM based) & ontology-based modeling algorithms to take up unsolved industry challenges • Lead and mentor a small team of data scientists in applying existing learning algorithms and develop new ones • Work on developing algorithms for multi-lingual support. • Cross-functional collaboration between data science and engineering teams to support the integration of finished algorithms and prototypes into products • Create an intellectual property for Innoplexus and write patent disclosures for them • Support sales and business development teams to fine-tune client requirements, perform feasibility testing and proposing an approach for solutions • Demonstrate thought leadership by participating in national & international conferences represent Innoplexus and publishing blogs, white papers etc. Required experience • More than 3 years of relevant experience in the industry • At least 1-year experience of leading a team • Strong, demonstrable experience developing new deep learning models (NLP, Neural Machine Translation, Speech Recognition) and machine learning over unstructured data • Hands on experience of deploying Machine Learning or Deep Learning based solutions in production with large datasets • Strong understanding of Python and Machine Learning libraries (NumPy, SciPy, sklearn, TensorFlow, PyTorch, Keras) • Good writing skills demonstrated by patents, publications, blogs or personal pages • Experience in the domain of life sciences or financial services is a plus.
Recruitment has been a weird problem. While companies complain they can't get good talent, there are hordes of talented professionals who are unable to easily find their next big opportunity. At CutShort, we are building an intelligent and tech-enabled platform that removes noise and connects these two sides seamlessly. More than 4000 companies have used our platform to hire 3x more people in 1/3rd the time and professionals get a great experience that just works. As we take CutShort in the next growth phase, we want to make it more intelligent. A big initiative is to use our data to simplify UX, reduce user errors and generate better results for our users. We should talk if: 1. You have at least 1 year of full-time experience in using M/L on real data to get real results. 2. Beyond the tools, you have a sound understanding of the underlying mathematical models. 3. You want to work in a fast growing startup where you can complete ownership and minimal supervision. 4. You want to see your work actually making an impact on our user's life. Interested? Let's talk!
We are looking for smart summer interns in the field of server engineering, data science and machine learning. Requirement: In your chosen internship area, show us your projects and describe the hardest problems you faced and how you solved them. Internship duration: 2-3 months Type: Full time (in office). Remote not available. Stipend: 15K/month Location: Pune PPO: We would love to offer full time roles to outstanding performers
• 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
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.