Engineering Manager / Lead

Kindly Check the Roles and Responsibilities of Bench sale Recruiter

• Have excellent verbal and interpersonal communication skills.

• Well-experienced in handling the full cycle of bench sales recruitment, i.e., from sourcing job requirements from prime vendors, vendors, clients, etc., to submitting the bench consultants, negotiating the best rates, following up on interview schedules, and placing the consultants at the best deals.

• Experience in working with OPT, H1B, and EAD

• Regular interaction and follow-up with bench consultants, identify their needs, and get them into projects accordingly.

• Ability to do H1 transfers.

• Experience in the end-to-end cycle of sales from submitting profiles, rate negotiations, and getting the projects.

• Knowledge of job portals like Dice, Monster, Career Builder, and social media platforms.

About us: www.devcare.com

Devcare Solution is a place where a best-in-class working environment, professional management, and opportunities to learn exist bundled with exceptional rewards. It is ready to take more on board for all those who deserve a dream career. The team is full of good spirits complimenting each one's brilliance at workplace. Needless to say, about the interesting projects, you for sure will gain an enriching positive experience every moment.

Name of the company: DevCare Solutions

Year of establishment: April 19th, 2005

Company address: No 4, Ram complex, Padasalai Street, Urapakkam, Chennai 603210

It's Complete US Shift – Onsite

Shift Timing will be 7.00pm to 4.00am IST

Cab: Pick and Drop Available

Dinner will provide in the company

Benefits

Incentives for every placement

Cab

Food

Holiday bonus

Health Insurance

🔥 Overview: Every year Trillions of dollar cross-border trade is done but still businesses have to face huge problems such as manual paperwork & compliance, unorganized processes, messy communication & collaboration, etc. At https://tradeflo.co/">Tradeflo we are digitizing, automating and simplifying workflow for Exporters and importers. We are on a mission to make 40 Million EXIMPrenuer's businesses simpler, faster and better.

Tradeflo is backed by Tier A global investors, unicorn start-up founders and industry experts. Our team comes from top institutes and founded a start-up in a similar domain.

As an early-stage member of the team, some of your responsibilities will include:

• Build out the stellar Technology & Engineering team to scale product
• Taking end-to-end responsibility for the strategy & implementation for building Technology.
• Doing multiple role - sometimes writing code, sometimes managing the tech team, sometimes attracting talent, etc.

• 3 to 5 Years of Experience and Proficiency with any part of Web technology stack.
• Have experience in working with early-stage high growth startup and building team.

📈 This is senior most technology role and long-term opportunity. Compensation is lot more focused on equity and long-term wealth creation.

Create and maintain database tables, views, indexes, and triggers.

Implement and maintain database code in the form of stored procedures, scripts, queries, views, triggers, etc.

Develop and maintain high-quality stored procedures.

Write low cost, high-quality database queries and code while maintaining data quality, privacy, and security

Profile databases, measure database performance and troubleshoot complex database issues, and IO bottlenecks.

Optimize database queries and ensure table locking/deadlocks happen in production.

Optimize large, complicated SQL statements & Stored Procedures.

Cost optimization of Amazon instances using databases.

Knowledge of database design principles, query optimization, index management, integrity checks, statistics and isolation levels

Knowledge of message queuing, indexing, and high-performance data concept

Knowledge of JSON and PostgreSQL support for JSON.

Good Grasp of ETL concepts

Work with front-end developers to define simple yet powerful APIs

Work with DBAs to ensure the efficiency of database code, integrity of data structures and quality of data content.

Coordinate with product managers and leadership teams to build effective database objects

Excellent verbal and written communication skills

Good attitude towards work and flexibility

Ability and willingness to handle multiple tasks in a fast-paced environment

Ability to evaluate alternative solutions and/or workarounds

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

• Liaising with clients to identify specific business problems and develop ideas
• Communicating with colleagues within the agency, such as creatives and account managers, in the process of developing a campaign
• Gaining a comprehensive context for advertising strategies by analysing a wide range of information in detail, including demographics, socio-economic and the market for the client's product and market share;
• Commissioning research from outside organisations to inform advertising strategies, using both qualitative methods, such as focus groups and structured interviews, and quantitative methods, such as demographic profiling and questionnaires
• Running research groups
• Finding an 'angle' on a specific product or service on which to base a campaign;
• Researching the product or service to be advertised, which may involve gaining technical or specific knowledge
• Reconciling the differences between consumers' current perceptions of the brand and the way the client wishes the brand to be perceived;
• Meeting the client to learn the background of the brand and advising on possible approaches to the target market
• Providing the creative team with a clearly defined brief that contains concise information on the product, audience and strategy
• Presenting conclusions and ideas to clients and other agency staff
• Analysing and interpreting customer response and sales data to evaluate the effectiveness of the campaign.

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

Creative Content Writer - B2B/B2C

Description:

Our clients have stories that need telling, we’re looking for storytellers who weave the right narrative for them. Are you comfortable telling stories of social impact, societal change, industrial evolution, and technological innovation? Are you well-versed with corporate communication, writing content for B2B marketing and sales, and enterprise content marketing? Have you worked on a large variety of content types - emails, brochures, flyers, social media content, website copy, sales presentations, webinar decks, articles, and whitepapers? Then you might be a good fit for this job.

Competencies:

• Ability to work on multiple projects simultaneously, effectively juggle diverse writing demands, and deliver on-time
• High retention capacity and the ability to understand client briefs to create effective content strategies.
• An unerring eye for detail and a knack for creativity. 

Skills:

• Ability to interpret data to make recommendations for optimizing online content marketing.
• Unique, engaging, and varied writing styles with good proofreading and research skills.
• Knowledge of keywords, meta tags, SEO, and basic writing terminologies.

Experience:

• Understands marketing KPIs and ROI generated from content marketing programs, including an understanding of how content sources influence audience acquisition pipelines.
• Experienced in writing blogs, product portfolios, reports, web content, brochures, and other marketing collateral for B2B/B2C clients.
• Has a solid foundation in SEO, content strategy, analytics, copywriting, and copy editing.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in both B2B and B2C domains. Please share only samples of work done by yourself for actual clients. Share only creative work done for an actual company, strictly no SEO blogs or personal blogs. . Shortlisting will be followed by a video interview.